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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 19796
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    INDEX
    Explanations

    names of individuals in a social context

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.78
    DonaldTrump
    -0.71
    benefit
    -0.70
    undown
    -0.70
    Downloadha
    -0.65
     includ
    -0.65
    ierrez
    -0.65
    adobe
    -0.64
     NETWORK
    -0.64
    ãĤ°
    -0.63
    POSITIVE LOGITS
     alike
    1.17
     respectively
    0.97
     versa
    0.80
     thereof
    0.67
     Streets
    0.66
    esses
    0.62
     alum
    0.59
     cohorts
    0.59
     Partners
    0.59
    rypt
    0.58
    Activations Density 0.600%

    No Known Activations